Real-time particle swarm optimization based parameter identification applied to permanent magnet synchronous machine
نویسندگان
چکیده
Particle swarm optimization (PSO) has been widely used in optimization problems. If an identification problem can be transformed into an optimization problem, PSO can be used to identify the unknown parameters in a nonlinear model that is used to describe a system. Currently, most PSO based identification or optimization solutions can only be implemented offline. The difficulties of online implementation mainly come from theunavoidable lengthy simulation time to evaluate a candidate solution. In this paper,
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ورودعنوان ژورنال:
- Appl. Soft Comput.
دوره 11 شماره
صفحات -
تاریخ انتشار 2011